The proneness of quantum information to errors puts in jeopardy the astonishing potential of quantum technologies to solve computational problems that cannot be efficiently processed by classical machines [1]}, [2]}, [3]}. Quantum errors arise due to the loss of coherence experienced by quantum states as a consequence of their interaction with the surrounding environment [4]}. This phenomenon is known as environmental decoherence. Quantum error correction codes were conceived as methods to protect quantum information from the deleterious effects of decoherence. Such strategies are of paramount importance to fulfil the potential of quantum technologies. In consequence, the quantum information community has gone above and beyond in its pursuit of QECCs that exhibit excellent performance and are capable of reversing quantum errors while consuming the least possible amount of resources. Several promising families of QECCs such as Quantum Reed-Muller codes [5]}, Quantum Low Density Parity Check (QLDPC) codes [6]}, Quantum Low Density Generator Matrix (QLDGM) codes [7]}, [8]}, [9]}, [10]}, Quantum Convolutional Codes (QCC) [11]}, Quantum Turbo Codes (QTC) [12]}, [13]}, [14]}, [15]}, [16]}, and Quantum Topological Codes [17]}, [18]} have been constructed following this premise.
